Results 31 to 40 of about 389,923 (287)
Jurnal Nasional Teknik Elektro, 2016 Distribution network reconfiguration is needed to minimize losses, especially in densely populated areas. Various reconfiguration methods and techniques have been proposed for the purpose of minimizing power losses.
Osea Zebua, I Made Ginarsa
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Robust regularized singular value decomposition with application to mortality data [PDF]
, 2013 We develop a robust regularized singular value decomposition (RobRSVD) method for analyzing two-way functional data. The research is motivated by the application of modeling human mortality as a smooth two-way function of age group and year.
Huang, Jianhua Z. +2 more
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Measurement Science Review, 2022 The article presents a measurement method for determining the power supply parameters for the optimal operation of a synchronous motor, i.e. operation with minimal losses in the entire load range.
Banach Henryk
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Reliable Multi-label Classification: Prediction with Partial Abstention
, 2020 In contrast to conventional (single-label) classification, the setting of multilabel classification (MLC) allows an instance to belong to several classes simultaneously.
Hüllermeier, Eyke, Nguyen, Vu-Linh
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Applied Sciences, 2019 Among the grid service applications of high-voltage direct current (HVDC) systems, frequency⁻power droop control for islanded networks is one of the most widely used schemes.
Gyusub Lee, Seungil Moon, Pyeongik Hwang
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Zhongguo dianli, 2020 In order to reduce the power losses in power transmission from West to East, an optimal power distribution strategy with minimized losses is studied for the West-to-East power transmission channels based on both theoretical analysis and simulation ...
Gaihong CHENG, Qingchun ZHU, Jing YAN
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Energies, 2023 Transmission line losses are a crucial and essential issue in stable power system operation. Numerous methodologies and techniques prevail for minimizing losses.
Chandu Valuva, Subramani Chinnamuthu
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Loss minimization in parse reranking [PDF]
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing - EMNLP '06, 2006 We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approaches to expected loss approximation are considered, including estimating from the probabilistic model used to generate the candidates, estimating from a discriminative model ...
Ivan Titov, James Henderson
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Robust Loss Functions under Label Noise for Deep Neural Networks
, 2017 In many applications of classifier learning, training data suffers from label noise. Deep networks are learned using huge training data where the problem of noisy labels is particularly relevant. The current techniques proposed for learning deep networks
Ghosh, Aritra +2 more
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Robust 1-Bit Compressed Sensing via Hinge Loss Minimization
, 2020 This work theoretically studies the problem of estimating a structured high-dimensional signal $x_0 \in \mathbb{R}^n$ from noisy $1$-bit Gaussian measurements.
Genzel, Martin, Stollenwerk, Alexander
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